Package: animalEKF 1.2

animalEKF: Extended Kalman Filters for Animal Movement

Synthetic generation of 1-D and 2-D correlated random walks (CRWs) for animal movement with behavioral switching, and particle filter estimation of movement parameters from observed trajectories using Extended Kalman Filter (EKF) model. See Ackerman (2018) <https://digital.library.temple.edu/digital/collection/p245801coll10/id/499150>.

Authors:Samuel Ackerman

animalEKF_1.2.tar.gz
animalEKF_1.2.zip(r-4.5)animalEKF_1.2.zip(r-4.4)animalEKF_1.2.zip(r-4.3)
animalEKF_1.2.tgz(r-4.4-any)animalEKF_1.2.tgz(r-4.3-any)
animalEKF_1.2.tar.gz(r-4.5-noble)animalEKF_1.2.tar.gz(r-4.4-noble)
animalEKF_1.2.tgz(r-4.4-emscripten)animalEKF_1.2.tgz(r-4.3-emscripten)
animalEKF.pdf |animalEKF.html
animalEKF/json (API)

# Install 'animalEKF' in R:
install.packages('animalEKF', repos = c('https://sam-data-guy-iam.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

14 exports 1 stars 0.23 score 76 dependencies 269 downloads

Last updated 12 months agofrom:e141662e90. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 24 2024
R-4.5-winNOTEAug 24 2024
R-4.5-linuxNOTEAug 24 2024
R-4.4-winNOTEAug 24 2024
R-4.4-macNOTEAug 24 2024
R-4.3-winOKAug 24 2024
R-4.3-macOKAug 24 2024

Exports:cdlm_robotcdlm_robot_twostatecdlm_robot_twostate_2DEKF_1d_interp_jointEKF_interp_jointinterp_trajectory_jointlow_var_samplemake_segmentsnormalize_anglerug_multicolorshark_vis_longlatsim_trajectory_jointspline_interptess2spat

Dependencies:base64encbezierbslibcachemclassclassIntclicodacolorspacecommonmarkcrayonDBIdeldirdigeste1071ellipsefansifarverfastmapfontawesomefsggplot2gluegtableHDIntervalhtmltoolshttpuvisobandjquerylibjsonliteKernSmoothlabelinglaterlatticelifecyclemagrittrMASSMatrixMatrixModelsmcmcMCMCpackmemoisemgcvmimemunsellmvtnormnlmepillarpkgconfigplyrpngpromisesproxyquantregR6rappdirsRColorBrewerRcpprlangs2sassscalessfshinysourcetoolsspSparseMsurvivaltibbleunitsutf8vctrsviridisLitewithrwkxtable